AWS Software Engineer III-ETL​/AI

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As an AWS Software Engineer III-ETL/AI at JPMorgan Chase within the Commercial and Investment Banking - Market Data Lake Core Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

• Executes software solutions, design, development, and technical troubleshooting with an ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise‑authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Ensures optimal application performance in production, providing ongoing monitoring, troubleshooting, and end‑to‑end production support to maintain stability and service reliability

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Hands‑on experience in Python or Java programming languages
• Prior experience building and operating data platforms and services using AWS, including services such as S3, Redshift, Sage Maker, and Lambda
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience with databases and data access patterns, including platforms such as Redshift and Oracle, and strong SQL/data querying capability
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical experience using infrastructure‑as‑code tooling (e.g., Terraform) and working effectively in a large corporate engineering environment

• Big Data / distributed computing experience (best to have), including frameworks such as Apache Spark (and/or Hadoop ecosystem) for large‑scale data processing
• Experience with data orchestration and workflow scheduling tools (best to have),…